Machine Learning Developer Velocity

Machine Learning Developer Velocity

Developing machine learning systems is painfully slow. Machine learning (ML) models take months to develop and deploy. By the time ML models are deployed into production, development velocity is at a crawl. Let's understand why.

Real Costs of Machine Learning Systems

Real Costs of Machine Learning Systems

Developing and maintaining machine learning (ML) systems is costly. ML practitioners (Machine Learning Researchers, Engineers, Developers, and Data Scientists) incur multiple costs as they shift from prototype to production. Understanding real costs (true costs) of ML systems allows companies to better develop prototypes and deploy models into production.

Aerospace and Artificial Intelligence Technologies

Aerospace and Artificial Intelligence Technologies

The development of unmanned vehicles began in the 21st century. During wartime, the aerospace companies were the first to develop autonomous aerial systems for the defense industry. Aerospace technologies quickly improved as funding from wars poured into the development of autonomous systems.

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